pi-goals
Make a short list of goals in one Markdown plan file. This is easy to review, and a subagent can check whether each goal is complete.
The plan file looks like this:
## <short plan title>
<context: one short paragraph. What the human wants and why.>
### User voice
- │ "<the human's requirement, quoted in full word for word (with spelling fixes)>"
### Goals
1. [ ] goal: <one short judgeable imperative outcome>
- subtle failure mode: <a way this could look done but isn't>
- discriminator: <the concrete observation that tells real success from that failure>
- tasks:
1. [ ] <subtask>
- evidence: (empty until sign-off)
### Future work / out of scope
### Log
### Interview
### Learnings
### Papercuts - problems, gotchas, suggestions
Related work
Like pi-milestones and burneikis/pi-plan, it guides rather than guards. The reminder cadence is copied from tintinweb/pi-tasks and the resync-after-compaction from tmonk/pi-goal-x.
Install
pi install npm:@wassname2/pi-goals
Or for development:
git clone https://github.com/wassname/pi-goals && cd pi-goals && npm install
pi -e ./src/index.ts
Use
/goals CSV export for the report view
/goals enters plan mode and starts a conversation; the objective is an optional seed. From there:
- Plan. The agent explores read-only and drafts the plan.
- Review. The full plan is printed in the transcript, then a menu asks Ready, Ready + compact,
Grill me, open in
$EDITOR, or keep planning. Grill me asks one understanding-check question and keeps plan mode active. - Work. The agent ticks subtasks, appends to
## Logand## Learnings, fillsevidence:, and callsCompleteGoalwhen a discriminator is satisfied. Every human reply in plan mode is saved verbatim under## Interview. If it leaves the plan untouched for two turns, the working set is sent back with a short upkeep reminder.
Other commands: /goals --clear deletes this session's active plan file; /goals --judge <model-ref>
picks a sign-off judge model (default: your current session model, else pi's default). The -- prefix
keeps ordinary objectives such as judge model quality from being parsed as commands.
Prompts
All model-facing text lives in src/prompts.ts, in flow order.
Develop
pi -e ./src/index.ts # load locally
npm test # vitest: judge argv invariants, appendLog, decideSignOff fail-forward
npm run typecheck
npm run lint
License
MIT
